Suppose a company is going to launch a new campaign for their new brand of car and want to know which category of people are likely to buy their brand new car so they can have the ads that target those peoples. For this they contacted a social network advertising company which have the data from another similar successful campaign. Now, they want to make a model which helps achieve their goal.
The dataset contains 400 entries which contains the userId, gender, age, estimatedsalary and the purchased history. The matrix of features taken into account are age and estimated salary which are going to predict if the user is going to buy new car or not(1=Yes, 0=No).
First the pre-processing of data is done and then the prediction is done using Artificial neural networks.